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On the Detection of Spectral Emissions of Iron Oxides in Combustion Experiments of Pyrite Concentrates

机译:硫铁矿精矿燃烧实验中铁氧化物光谱发射的检测

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摘要

In this paper, we report on the spectral detection of wustite, Fe(II) oxide (FeO), and magnetite, Fe(II, III) oxide (Fe O ), molecular emissions during the combustion of pyrite (FeS ), in a laboratory-scale furnace operating at high temperatures. These species are typically generated by reactions occurring during the combustion (oxidation) of this iron sulfide mineral. Two detection schemes are addressed: the first consisting of measurements with a built-in developed spectrometer with a high sensitivity and a high spectral resolution. The second one consisting of spectra measured with a low spectral resolution and a low sensitivity commercial spectrometer, but enhanced and analyzed with post signal processing and multivariate data analysis such as principal component analysis (PCA) and a multivariate curve resolution—the alternating least squares method (MCR-ALS). A non-linear model is also proposed to reconstruct spectral signals measured during pyrite combustion. Different combustion conditions were studied to evaluate the capacity of the detection schemes to follow the spectral emissions of iron oxides. The results show a direct correlation between FeO and Fe O spectral features intensity, and non-linear relations with key combustion variables such as flame temperature, and the combusted sulfide mineral particle size.
机译:在本文中,我们报告了硫铁矿(FeS)燃烧过程中硫铁矿(FeS II)和磁铁矿Fe(II,III)氧化物(Fe O)的分子发射光谱检测。实验室规模的高温炉。这些物质通常是由硫化铁矿物燃烧(氧化)过程中发生的反应产生的。解决了两种检测方案:第一种检测方案是使用内置的先进光谱仪进行测量,该光谱仪具有高灵敏度和高光谱分辨率。第二个光谱由低光谱分辨率和低灵敏度商用光谱仪测得的光谱组成,但通过后信号处理和多元数据分析(例如主成分分析(PCA)和多元曲线分辨率)(交替最小二乘法)进行了增强和分析(MCR-ALS)。还提出了一个非线性模型来重建在黄铁矿燃烧过程中测得的光谱信号。研究了不同的燃烧条件,以评估检测方案跟踪铁氧化物光谱排放的能力。结果表明FeO和Fe O光谱特征强度之间存在直接关系,并且与关键燃烧变量(如火焰温度和燃烧的硫化物矿物粒度)呈非线性关系。

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